An Adaptive Edge-detection Method Based on Canny Algorithm

This paper is based on Canny algorithm.An adaptive Canny algorithm of edge-detection method is proposed.This algorithm not only keeps the Canny's excellent performance in good localization,only one response to a single edge and good detection,but also improves the performance in the detail edge-detection and good detection. Canny adaptive algorithm divides image into sub-images and detects them with adaptive threshold value according to the whole image edge information, that improves the automaticity of edge-detection.With the mathematic analysis and test result,it is demonstrated that the adaptive edge-detection method is an efficient improving approach on edge-detection.

QIN Xue;WANG Huan;YAN Ye;WU Yuning;SU Wei;School of Computer Science and Technology,Changchun University of Science and Technology;Information of Center,Changchun University of Science and Technology;;Image Recognition Algorithm Based on Edge Detection[J];长春理工大学学报(自然科学版);2015-04